Journal
APPLIED MATHEMATICS AND COMPUTATION
Volume 256, Issue -, Pages 175-182Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.amc.2015.01.004
Keywords
Neural networks; Time-varying delay; Exponential stability; Lyapunov-Krasovskii functional
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Funding
- National Natural Science Foundation of China [61125301, 61210011]
- Fundamental Research Funds for the Central Universities of Central South University [2014zzts205]
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This paper investigates the problem of the exponential stability for a class of neural networks with time-varying delay. A triple integral term and a term considering the delay information in a new way are introduced to the Lyapunov-Krasovskii functional (LKF). The obtained criterion show advantages over the existing ones since not only a novel LKF is constructed but also several techniques such as Wirtinger-based inequality and convex combination technique are used to estimate the upper bound of the derivative of the LKF. Finally, a numerical example is provided to verify the effectiveness and benefit of the proposed criterion. (C) 2015 Elsevier Inc. All rights reserved.
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